CFP last date
20 August 2024
Call for Paper
September Edition
IJCA solicits high quality original research papers for the upcoming September edition of the journal. The last date of research paper submission is 20 August 2024

Submit your paper
Know more
Reseach Article

An Efficient Additive White Median Filtering for Removal of Salt and Pepper Noise based on Images

by R. Priyanka, B. Naga Sirisha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 6
Year of Publication: 2014
Authors: R. Priyanka, B. Naga Sirisha
10.5120/18528-9725

R. Priyanka, B. Naga Sirisha . An Efficient Additive White Median Filtering for Removal of Salt and Pepper Noise based on Images. International Journal of Computer Applications. 106, 6 ( November 2014), 38-42. DOI=10.5120/18528-9725

@article{ 10.5120/18528-9725,
author = { R. Priyanka, B. Naga Sirisha },
title = { An Efficient Additive White Median Filtering for Removal of Salt and Pepper Noise based on Images },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 6 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number6/18528-9725/ },
doi = { 10.5120/18528-9725 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:44.085744+05:30
%A R. Priyanka
%A B. Naga Sirisha
%T An Efficient Additive White Median Filtering for Removal of Salt and Pepper Noise based on Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 6
%P 38-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several researchers are concentrated on cancellation of salt and pepper noise from the two-dimensional signals like digital images and uses several filters like mean filter, median filter, trimmed median filter etc. , for removal of noise. A novel approach has been implemented using a filter so called Additive White Median Filter (AWMF) for filtering the two-dimensional signal which uses a schematic procedure where mean value of the particular window size is used instead of median value for the removal of high density noise from the signals without changing the clarity of the digital image. In this scheme noisy pixels are replaced with the neighborhood non noisy pixels mean value. Whenever the window selected dynamically is non-flexible with the corrupted pixels, then the size of the window is increased in order to flexible with pixels. The selection of window size depends on the noise density in the image and also corrupted pixel density in the window. Hence a variable window size is chosen for the removal of noise in the pixels. The novel scheme is subjected to various aspects of the two-dimensional signal and also for different noise levels in order to evaluate the performance. Comparative studies proves that the novel scheme removes the salt and pepper noise effectively with better image quality compared with conventional methods and recently proposed methods such mean filter, modified decision based un-symmetric trimmed median filter, median filter and adaptive median filter. The simulation results shown in the below sections and from which it is clear that the newly defined novel approach has removed salt and pepper noise better than all the conventional methods for variable noise levels and also it removes noise without losing the edge information.

References
  1. T. M. Benazir and B. M. Imran, "Removal of High and Low Density Impulse Noise from Digital Images Using Non Linear Filter," ICSI, 2013.
  2. V. Jayaraj and D. Ebenezer, "A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in image," EURASIP J. Adv. Signal Process, 2010.
  3. Madhu S. Nair, K. Revathy, and Rao Tatavarti, "Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm," Proceedings of the International Multi Conference of Engineers and Computer Scientists 2008 Vol I IMECS 2008, 19-21 March, 2008.
  4. Hong Kong, Venkatasubramanian, S. P. Sheebha, "A Modified Algorithm for Removal of Salt and Pepper Noise in Color Images," Third International Conference on Intelligent Systems Modeling and Simulation, IEEE, 2012.
  5. D. R. K. Bowring et al, "The weighted median filter," Commune. ACM, Vol. 2, no. 8, pp. 807-818, August 1984.
  6. Rajoo Pandey, "An Improved Switching Median Filter for Uniformly Distributed Impulse Noise Removal," World Academy Of science, Engineering and Technology 2008.
  7. E. J. Coyle et al, "Stack filters and the mean absolute error criterion," IEEE Trans. , Vol. 36, pp. 1244-1254, August 1988.
  8. A. Bingham et al, "The quality of edge preservation by nonlinear filters," in Proc. IEEE Workshop. , VSPC, pp. 37-39, 1992.
  9. A. Bingham et al, "Multi-scale median and morphological filters used for 2D pattern recognition," Signal Processing, Vol. 38, pp. 387-415, 1994.
  10. K. E. Barner et al, "Permutation filters: a class of nonlinear filters based on set permutations," IEEE Trans. , Vol. 42, pp. 782-798, April 1994.
Index Terms

Computer Science
Information Sciences

Keywords

Additive White Median Filter Salt and Pepper Noise Mean Filter Median Filter Modified Decision Based Unsymmetrical Median Filter.